Exercise motives impact on physical activities measured using wearable devices

Health officials advocate for increased physical activity to address negative health consequences. While previous studies have investigated what motivates different individuals to exercise, the motives were not verified using unbiased measurements. Information and Communication Technologies (ICT), including wearables, are essential for collecting and sharing data necessary for improving health initiatives. The purpose of this study was to use objective measures collected by wearable devices (Fitbit) to track activity and explore whether specific exercise motives impact participants’ physical activities. Ninety-six college freshmen enrolled in the 90-day study. During orientation, participants completed an Exercise Motives Inventory-2 (EMI-2), and their current physical state was baselined. Partial Least Squares (PLS)—Structural Equation Modeling (SEM) was used to model the relationship between variables. The results revealed a relationship between Interpersonal Motives, Health Motives, and Fitness Motives, and participants’ physical activities. Those striving to facilitate a change in exercise behavior in young adults should leverage activities that align with their motives of interest and consider the use of wearable devices to track physical activity.

Embedded system · Physical activity · Physical medicine and rehabilitation · Physical therapy · Wearable computer · Wearable technology · Applied Psychology · Behavioral Health and Interventions · Computer Science · Medicine · Motivation and Self-Concept in Sports · Physical Activity and Health · Psychology

• A Bibliometric Analysis of Wearable Device Research Trends 2001–2022—A Study on the Reversal of Number of Publications and Research Trends in China and the USA

  Open Access•Itsuki Kageyama, Karin Kurata et al.•International Journal of…•2022

  Incluir item

• How to Write Up and Report PLS Analyses

  Open Access•Wynne W Chin•Handbook of Partial Least Squares•2010

  Incluir item

• College Students' Motivation for Physical Activity

  Marcus W Kilpatrick, Marcus Kilpatrick et al.•Journal of American College Health•2005

  Incluir item

• Sedentary time in adults and the association with diabetes, cardiovascular disease and death

  Open Access•E G Wilmot, C L Edwardson et al.•Diabetologia•2012

  Incluir item

• Validation of Wearable Monitors for Assessing Sedentary Behavior

  Sarah Kozey Keadle, SARAH KOZEY-KEADLE et al.•Medicine & Science in Sports &…•2011

  Incluir item

• Construct Measurement and Validation Procedures in MIS and Behavioral Research

  Scott B Mackenzie, Mackenzie Mackenzie et al.•MIS Quarterly•2011

  Incluir item

• Using PLS Path Modeling for Assessing Hierarchical Construct Models

  Martin Wetzels, Odekerken-Schröder Odekerken-Schröder et al.•MIS Quarterly•2009

  Incluir item

• A Practical Guide To Factorial Validity Using PLS-Graph

  David Gefen, Detmar W Straub et al.•Communications of the Association…•2005

  Incluir item

• Common Method Bias in PLS-SEM

  Open Access•Ned Kock•International Journal of…•2015

  Incluir item

• Updating the determinants of health model in the Information Age

  Open Access•Louis Rice, Rachel Sara•Health Promotion International•2019

  Incluir item

• The impact of exercise motives on adolescents’ sustained use of wearable technology

  Kimberly Deranek, Barbara Hewitt et al.•Behaviour and Information…•2021

  Incluir item

• Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being

  Richard M Ryan, Edward L Deci•American Psychologist•2000

  Incluir item

• Introduction to Special Issue on Body Tracking and Healthcare

  Kenton O’hara, Abigail Sellen et al.•Human-Computer Interaction•2016

  Incluir item

• Assessing Multiple Sclerosis With Kinect

  Cecily Morrison, Kit Huckvale et al.•Human-Computer Interaction•2016

  Incluir item

• Co-Interpreting Movement With Sensors

  Helena M Mentis, Rita Shewbridge et al.•Human-Computer Interaction•2015

  Incluir item

• The real-time city? Big data and smart urbanism

  Open Access•Rob Kitchin•GeoJournal•2013

  Incluir item

• The "What" and "Why" of Goal Pursuits

  Edward L Deci, Richard M Ryan•Psychological Inquiry•2000

  Incluir item

• Effects of a group-based exercise and self-regulatory intervention on obese adolescents' physical activity, social cognitions, body composition and strength

  Open Access•A Justine Wilson, Alexandra Wilson et al.•Journal of Health Psychology•2012

  Incluir item